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Showing papers from Mohamed Bin Zayed University of Artificial Intelligence Show all papers

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NeurIPS 2026OralAnt GroupSichuanMohamed Bin Zayed University of WuhanSouth China University of TechnoObject detection

Can We Model the Artifacts Explicitly? Disentangle Artifacts via Pairwise Edit Relations for Image Manipulation Localization

Xuekang Zhu, Kaiwen Feng, Ruifeng Wang, Xiwen Wang and 7 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026PekingHuazhong University of Science aInstitute of Automation, ChineseU Electronic Science and TechnolMohamed Bin Zayed University of LLM evaluation & benchmarks

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs

K12-KGraph introduces a curriculum-aligned K-12 knowledge graph, benchmark, and training data showing current LLMs achieve under 57 percent accuracy on curriculum cognition and that graph-guided supervision outperforms generic instruction tuning.

Hao Liang, Qihan Lin, Mingrui Chen, Hengyi Feng and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 62 on Hugging Face · Code ★ 392

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AI panel: 19 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 4/5
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NeurIPS 2026Shanghai Jiao TongKuaishou- 快手科技PekingRenmin University of ChinaMohamed Bin Zayed University of Multimodal reasoning

LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning

LatentOmni replaces text chain-of-thought with interleaved audio-visual latent reasoning states to preserve dense sensory signals, improving joint reasoning over explicit text baselines.

Yifan Dai, zhenhua wu, Bohan Zeng, Daili Hua and 17 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 44 on Hugging Face · Code ★ 24

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 0/5